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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Rerabek, M. Goldmann, L. Jong-Seok Lee Ebrahimi, T. |
| Copyright Year | 2011 |
| Description | Author affiliation: Multimedia Signal Processing Group (MMSPG), Ecole Polytechnique Federale de Lausanne (EPFL) Station 11, Lausanne, Switzerland (Rerabek, M.; Goldmann, L.; Jong-Seok Lee; Ebrahimi, T.) |
| Abstract | While 3D display technologies are already widely available for cinema and home or corporate use, only a few portable devices currently feature 3D display capabilities. Moreover, the large majority of 3D display solutions rely on binocular perception. In this paper, we study the alternative methods for restitution of 3D images on conventional 2D displays and analyze their respective performance. This particularly includes the extension of wiggle stereoscopy for portable devices which relies on motion parallax as an additional depth cue. The goal of this paper is to compare two different 3D display techniques, the anaglyph method which provides binocular depth cues and a method based on motion parallax, and to show that the motion parallax based approach to present 3D images on consumer 2D portable screen is an equivalent way in comparison to the above mentioned and well-known anaglyph method. The subsequently conducted subjective quality tests show that viewers even prefer wiggle over anaglyph stereoscopy mainly due to a better color reproduction and a comparable depth perception. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 2164043 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781457714320 |
| e-ISBN | 9781457714344 |
| e-ISBN | 9781457714337 |
| DOI | 10.1109/MMSP.2011.6093789 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-10-17 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Three dimensional displays Cameras Videos Stereo image processing Image color analysis Artificial neural networks Mobile handsets |
| Content Type | Text |
| Resource Type | Article |
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